I am a machine learning engineer🚀, julia fan, and chess addict 🕵 .

Currently:

Sr. ML Engineer @Beacon Biosignals

• Deep learning for various EEG markers, including: sleep staging, seizure detection, non-biological artifact detection

Previous affiliations and collaborations:

Sr. ML Engineer @tasq

• Segmentation, anomaly detection, classification, and categorization of high frequency signals, at scale. Projects include:
  • Live anomaly detection and event categorization/identification stack
  • Optimization using sensor data, both naive historical and (CURRENT WORK) using reinforcement learning
  • Signal segmentation accurate enough to identify when sensors meant to detect segments are broken
  • Fast multidimensional pattern matching algorithm

Stanford AIMI: contrastive multimodal deep learning

NASA Goddard: Automated Spectroscopy, presented as a talk at ACM Astrochemical complexity conference in 2020

SMU: Masters, thesis on using attention on sEMG signals for smart prosthetics, published to ML4H 2020

• Making one million half finished projects
• Neovim
• Linux
• Chess
• Unsupervised, self-supervised, and representation learning
• High frequency time series and signals
• Cooking
• Self-sustainability
• Mountain biking

• Julia
• Lua
• Rust
• Scientific computing
• Bayesian stats

• Numerical Recipes
• 3 Body Problem